Dataset statistics
| Number of variables | 23 |
|---|---|
| Number of observations | 1000 |
| Missing cells | 317 |
| Missing cells (%) | 1.4% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 179.8 KiB |
| Average record size in memory | 184.1 B |
Variable types
| Text | 4 |
|---|---|
| Categorical | 5 |
| Numeric | 11 |
| DateTime | 1 |
| Boolean | 2 |
deceased_indicator has constant value "" | Constant |
country has constant value "" | Constant |
postcode is highly overall correlated with property_valuation and 1 other fields | High correlation |
property_valuation is highly overall correlated with postcode | High correlation |
Unnamed: 16 is highly overall correlated with Unnamed: 17 and 2 other fields | High correlation |
Unnamed: 17 is highly overall correlated with Unnamed: 16 and 2 other fields | High correlation |
Unnamed: 18 is highly overall correlated with Unnamed: 16 and 2 other fields | High correlation |
Unnamed: 19 is highly overall correlated with Unnamed: 16 and 2 other fields | High correlation |
Unnamed: 20 is highly overall correlated with Rank and 1 other fields | High correlation |
Rank is highly overall correlated with Unnamed: 20 and 1 other fields | High correlation |
Value is highly overall correlated with Unnamed: 20 and 1 other fields | High correlation |
state is highly overall correlated with postcode | High correlation |
last_name has 29 (2.9%) missing values | Missing |
DOB has 17 (1.7%) missing values | Missing |
job_title has 106 (10.6%) missing values | Missing |
job_industry_category has 165 (16.5%) missing values | Missing |
address has unique values | Unique |
Reproduction
| Analysis started | 2023-08-03 14:17:12.179487 |
|---|---|
| Analysis finished | 2023-08-03 14:17:21.242016 |
| Duration | 9.06 seconds |
| Software version | ydata-profiling vv4.4.0 |
| Download configuration | config.json |
first_name
Text
| Distinct | 940 |
|---|---|
| Distinct (%) | 94.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.9 KiB |
Length
| Max length | 13 |
|---|---|
| Median length | 11 |
| Mean length | 6.087 |
| Min length | 2 |
Characters and Unicode
| Total characters | 6087 |
|---|---|
| Distinct characters | 52 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 883 ? |
|---|---|
| Unique (%) | 88.3% |
Sample
| 1st row | Chickie |
|---|---|
| 2nd row | Morly |
| 3rd row | Ardelis |
| 4th row | Lucine |
| 5th row | Melinda |
| Value | Count | Frequency (%) |
| rozamond | 3 | 0.3% |
| mandie | 3 | 0.3% |
| dorian | 3 | 0.3% |
| inglebert | 2 | 0.2% |
| kizzee | 2 | 0.2% |
| latrena | 2 | 0.2% |
| geoff | 2 | 0.2% |
| wyn | 2 | 0.2% |
| art | 2 | 0.2% |
| cami | 2 | 0.2% |
| Other values (930) | 977 |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 702 | 11.5% |
| a | 631 | 10.4% |
| i | 566 | 9.3% |
| n | 488 | 8.0% |
| r | 434 | 7.1% |
| l | 414 | 6.8% |
| o | 303 | 5.0% |
| t | 223 | 3.7% |
| d | 193 | 3.2% |
| s | 168 | 2.8% |
| Other values (42) | 1965 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 5086 | |
| Uppercase Letter | 1000 | 16.4% |
| Dash Punctuation | 1 | < 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 702 | |
| a | 631 | |
| i | 566 | |
| n | 488 | |
| r | 434 | |
| l | 414 | |
| o | 303 | 6.0% |
| t | 223 | 4.4% |
| d | 193 | 3.8% |
| s | 168 | 3.3% |
| Other values (16) | 964 |
Uppercase Letter
| Value | Count | Frequency (%) |
| A | 88 | 8.8% |
| C | 80 | 8.0% |
| M | 75 | 7.5% |
| D | 71 | 7.1% |
| S | 64 | 6.4% |
| R | 63 | 6.3% |
| L | 61 | 6.1% |
| B | 56 | 5.6% |
| G | 54 | 5.4% |
| K | 54 | 5.4% |
| Other values (15) | 334 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 1 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 6086 | |
| Common | 1 | < 0.1% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 702 | 11.5% |
| a | 631 | 10.4% |
| i | 566 | 9.3% |
| n | 488 | 8.0% |
| r | 434 | 7.1% |
| l | 414 | 6.8% |
| o | 303 | 5.0% |
| t | 223 | 3.7% |
| d | 193 | 3.2% |
| s | 168 | 2.8% |
| Other values (41) | 1964 |
Common
| Value | Count | Frequency (%) |
| - | 1 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 6087 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 702 | 11.5% |
| a | 631 | 10.4% |
| i | 566 | 9.3% |
| n | 488 | 8.0% |
| r | 434 | 7.1% |
| l | 414 | 6.8% |
| o | 303 | 5.0% |
| t | 223 | 3.7% |
| d | 193 | 3.2% |
| s | 168 | 2.8% |
| Other values (42) | 1965 |
last_name
Text
MISSING
| Distinct | 961 |
|---|---|
| Distinct (%) | 99.0% |
| Missing | 29 |
| Missing (%) | 2.9% |
| Memory size | 7.9 KiB |
Length
| Max length | 21 |
|---|---|
| Median length | 12 |
| Mean length | 7.0267765 |
| Min length | 3 |
Characters and Unicode
| Total characters | 6823 |
|---|---|
| Distinct characters | 54 |
| Distinct categories | 5 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 951 ? |
|---|---|
| Unique (%) | 97.9% |
Sample
| 1st row | Brister |
|---|---|
| 2nd row | Genery |
| 3rd row | Forrester |
| 4th row | Stutt |
| 5th row | Hadlee |
| Value | Count | Frequency (%) |
| de | 3 | 0.3% |
| van | 3 | 0.3% |
| den | 3 | 0.3% |
| crellim | 2 | 0.2% |
| sissel | 2 | 0.2% |
| hallt | 2 | 0.2% |
| minshall | 2 | 0.2% |
| burgoine | 2 | 0.2% |
| eade | 2 | 0.2% |
| velde | 2 | 0.2% |
| Other values (960) | 963 |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 707 | 10.4% |
| a | 529 | 7.8% |
| n | 500 | 7.3% |
| r | 454 | 6.7% |
| o | 441 | 6.5% |
| l | 410 | 6.0% |
| i | 406 | 6.0% |
| t | 361 | 5.3% |
| s | 316 | 4.6% |
| d | 207 | 3.0% |
| Other values (44) | 2492 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 5783 | |
| Uppercase Letter | 1014 | 14.9% |
| Space Separator | 15 | 0.2% |
| Other Punctuation | 10 | 0.1% |
| Dash Punctuation | 1 | < 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 707 | |
| a | 529 | 9.1% |
| n | 500 | 8.6% |
| r | 454 | 7.9% |
| o | 441 | 7.6% |
| l | 410 | 7.1% |
| i | 406 | 7.0% |
| t | 361 | 6.2% |
| s | 316 | 5.5% |
| d | 207 | 3.6% |
| Other values (16) | 1452 |
Uppercase Letter
| Value | Count | Frequency (%) |
| B | 120 | 11.8% |
| S | 94 | 9.3% |
| C | 93 | 9.2% |
| M | 79 | 7.8% |
| D | 67 | 6.6% |
| P | 58 | 5.7% |
| H | 56 | 5.5% |
| A | 51 | 5.0% |
| G | 48 | 4.7% |
| R | 43 | 4.2% |
| Other values (15) | 305 |
Space Separator
| Value | Count | Frequency (%) |
| 15 |
Other Punctuation
| Value | Count | Frequency (%) |
| ' | 10 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 1 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 6797 | |
| Common | 26 | 0.4% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 707 | 10.4% |
| a | 529 | 7.8% |
| n | 500 | 7.4% |
| r | 454 | 6.7% |
| o | 441 | 6.5% |
| l | 410 | 6.0% |
| i | 406 | 6.0% |
| t | 361 | 5.3% |
| s | 316 | 4.6% |
| d | 207 | 3.0% |
| Other values (41) | 2466 |
Common
| Value | Count | Frequency (%) |
| 15 | ||
| ' | 10 | |
| - | 1 | 3.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 6823 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 707 | 10.4% |
| a | 529 | 7.8% |
| n | 500 | 7.3% |
| r | 454 | 6.7% |
| o | 441 | 6.5% |
| l | 410 | 6.0% |
| i | 406 | 6.0% |
| t | 361 | 5.3% |
| s | 316 | 4.6% |
| d | 207 | 3.0% |
| Other values (44) | 2492 |
gender
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.9 KiB |
| Female | |
|---|---|
| Male | |
| U | 17 |
Length
| Max length | 6 |
|---|---|
| Median length | 6 |
| Mean length | 4.975 |
| Min length | 1 |
Characters and Unicode
| Total characters | 4975 |
|---|---|
| Distinct characters | 7 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Male |
|---|---|
| 2nd row | Male |
| 3rd row | Female |
| 4th row | Female |
| 5th row | Female |
Common Values
| Value | Count | Frequency (%) |
| Female | 513 | |
| Male | 470 | |
| U | 17 | 1.7% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| female | 513 | |
| male | 470 | |
| u | 17 | 1.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 1496 | |
| a | 983 | |
| l | 983 | |
| F | 513 | 10.3% |
| m | 513 | 10.3% |
| M | 470 | 9.4% |
| U | 17 | 0.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 3975 | |
| Uppercase Letter | 1000 | 20.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 1496 | |
| a | 983 | |
| l | 983 | |
| m | 513 | 12.9% |
Uppercase Letter
| Value | Count | Frequency (%) |
| F | 513 | |
| M | 470 | |
| U | 17 | 1.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 4975 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 1496 | |
| a | 983 | |
| l | 983 | |
| F | 513 | 10.3% |
| m | 513 | 10.3% |
| M | 470 | 9.4% |
| U | 17 | 0.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 4975 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 1496 | |
| a | 983 | |
| l | 983 | |
| F | 513 | 10.3% |
| m | 513 | 10.3% |
| M | 470 | 9.4% |
| U | 17 | 0.3% |
past_3_years_bike_related_purchases
Real number (ℝ)
| Distinct | 100 |
|---|---|
| Distinct (%) | 10.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 49.836 |
| Minimum | 0 |
|---|---|
| Maximum | 99 |
| Zeros | 9 |
| Zeros (%) | 0.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.9 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 5 |
| Q1 | 26.75 |
| median | 51 |
| Q3 | 72 |
| 95-th percentile | 94 |
| Maximum | 99 |
| Range | 99 |
| Interquartile range (IQR) | 45.25 |
Descriptive statistics
| Standard deviation | 27.796686 |
|---|---|
| Coefficient of variation (CV) | 0.55776319 |
| Kurtosis | -1.0880489 |
| Mean | 49.836 |
| Median Absolute Deviation (MAD) | 22.5 |
| Skewness | -0.065621862 |
| Sum | 49836 |
| Variance | 772.65576 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 60 | 20 | 2.0% |
| 59 | 18 | 1.8% |
| 42 | 17 | 1.7% |
| 70 | 17 | 1.7% |
| 11 | 16 | 1.6% |
| 37 | 16 | 1.6% |
| 47 | 15 | 1.5% |
| 62 | 14 | 1.4% |
| 84 | 14 | 1.4% |
| 79 | 14 | 1.4% |
| Other values (90) | 839 |
| Value | Count | Frequency (%) |
| 0 | 9 | |
| 1 | 8 | |
| 2 | 9 | |
| 3 | 9 | |
| 4 | 10 | |
| 5 | 13 | |
| 6 | 10 | |
| 7 | 13 | |
| 8 | 7 | |
| 9 | 5 | 0.5% |
| Value | Count | Frequency (%) |
| 99 | 9 | |
| 98 | 6 | |
| 97 | 11 | |
| 96 | 9 | |
| 95 | 8 | |
| 94 | 12 | |
| 93 | 9 | |
| 92 | 5 | |
| 91 | 8 | |
| 90 | 6 |
DOB
Date
MISSING
| Distinct | 958 |
|---|---|
| Distinct (%) | 97.5% |
| Missing | 17 |
| Missing (%) | 1.7% |
| Memory size | 7.9 KiB |
| Minimum | 1938-06-08 00:00:00 |
|---|---|
| Maximum | 2002-02-27 00:00:00 |
Histogram with fixed size bins (bins=50)
job_title
Text
MISSING
| Distinct | 184 |
|---|---|
| Distinct (%) | 20.6% |
| Missing | 106 |
| Missing (%) | 10.6% |
| Memory size | 7.9 KiB |
Length
| Max length | 36 |
|---|---|
| Median length | 25 |
| Mean length | 18.088367 |
| Min length | 5 |
Characters and Unicode
| Total characters | 16171 |
|---|---|
| Distinct characters | 47 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 45 ? |
|---|---|
| Unique (%) | 5.0% |
Sample
| 1st row | General Manager |
|---|---|
| 2nd row | Structural Engineer |
| 3rd row | Senior Cost Accountant |
| 4th row | Account Representative III |
| 5th row | Financial Analyst |
| Value | Count | Frequency (%) |
| engineer | 131 | 6.3% |
| assistant | 82 | 3.9% |
| manager | 76 | 3.7% |
| analyst | 66 | 3.2% |
| iv | 52 | 2.5% |
| iii | 50 | 2.4% |
| vp | 46 | 2.2% |
| ii | 44 | 2.1% |
| senior | 44 | 2.1% |
| sales | 44 | 2.1% |
| Other values (117) | 1444 |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 1578 | 9.8% |
| n | 1279 | 7.9% |
| a | 1253 | 7.7% |
| t | 1218 | 7.5% |
| 1185 | 7.3% | |
| i | 1124 | 7.0% |
| r | 1083 | 6.7% |
| s | 966 | 6.0% |
| o | 773 | 4.8% |
| c | 678 | 4.2% |
| Other values (37) | 5034 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 12650 | |
| Uppercase Letter | 2328 | 14.4% |
| Space Separator | 1185 | 7.3% |
| Other Punctuation | 8 | < 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 1578 | |
| n | 1279 | |
| a | 1253 | |
| t | 1218 | |
| i | 1124 | |
| r | 1083 | |
| s | 966 | |
| o | 773 | 6.1% |
| c | 678 | 5.4% |
| l | 532 | 4.2% |
| Other values (14) | 2166 |
Uppercase Letter
| Value | Count | Frequency (%) |
| I | 351 | |
| A | 346 | |
| S | 271 | |
| E | 201 | |
| P | 197 | |
| C | 156 | |
| M | 134 | 5.8% |
| D | 121 | 5.2% |
| V | 98 | 4.2% |
| T | 78 | 3.4% |
| Other values (11) | 375 |
Space Separator
| Value | Count | Frequency (%) |
| 1185 |
Other Punctuation
| Value | Count | Frequency (%) |
| / | 8 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 14978 | |
| Common | 1193 | 7.4% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 1578 | 10.5% |
| n | 1279 | 8.5% |
| a | 1253 | 8.4% |
| t | 1218 | 8.1% |
| i | 1124 | 7.5% |
| r | 1083 | 7.2% |
| s | 966 | 6.4% |
| o | 773 | 5.2% |
| c | 678 | 4.5% |
| l | 532 | 3.6% |
| Other values (35) | 4494 |
Common
| Value | Count | Frequency (%) |
| 1185 | ||
| / | 8 | 0.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 16171 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 1578 | 9.8% |
| n | 1279 | 7.9% |
| a | 1253 | 7.7% |
| t | 1218 | 7.5% |
| 1185 | 7.3% | |
| i | 1124 | 7.0% |
| r | 1083 | 6.7% |
| s | 966 | 6.0% |
| o | 773 | 4.8% |
| c | 678 | 4.2% |
| Other values (37) | 5034 |
job_industry_category
Categorical
MISSING
| Distinct | 9 |
|---|---|
| Distinct (%) | 1.1% |
| Missing | 165 |
| Missing (%) | 16.5% |
| Memory size | 7.9 KiB |
| Financial Services | |
|---|---|
| Manufacturing | |
| Health | |
| Retail | |
| Property | |
| Other values (4) |
Length
| Max length | 18 |
|---|---|
| Median length | 13 |
| Mean length | 11.31976 |
| Min length | 2 |
Characters and Unicode
| Total characters | 9452 |
|---|---|
| Distinct characters | 29 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Manufacturing |
|---|---|
| 2nd row | Property |
| 3rd row | Financial Services |
| 4th row | Manufacturing |
| 5th row | Financial Services |
Common Values
| Value | Count | Frequency (%) |
| Financial Services | 203 | |
| Manufacturing | 199 | |
| Health | 152 | |
| Retail | 78 | 7.8% |
| Property | 64 | 6.4% |
| IT | 51 | 5.1% |
| Entertainment | 37 | 3.7% |
| Argiculture | 26 | 2.6% |
| Telecommunications | 25 | 2.5% |
| (Missing) | 165 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| financial | 203 | |
| services | 203 | |
| manufacturing | 199 | |
| health | 152 | |
| retail | 78 | 7.5% |
| property | 64 | 6.2% |
| it | 51 | 4.9% |
| entertainment | 37 | 3.6% |
| argiculture | 26 | 2.5% |
| telecommunications | 25 | 2.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 1096 | |
| i | 999 | |
| n | 965 | |
| e | 850 | 9.0% |
| c | 681 | 7.2% |
| t | 655 | 6.9% |
| r | 619 | 6.5% |
| l | 484 | 5.1% |
| u | 475 | 5.0% |
| s | 228 | 2.4% |
| Other values (19) | 2400 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 8160 | |
| Uppercase Letter | 1089 | 11.5% |
| Space Separator | 203 | 2.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 1096 | |
| i | 999 | |
| n | 965 | |
| e | 850 | |
| c | 681 | |
| t | 655 | |
| r | 619 | |
| l | 484 | |
| u | 475 | |
| s | 228 | 2.8% |
| Other values (8) | 1108 |
Uppercase Letter
| Value | Count | Frequency (%) |
| F | 203 | |
| S | 203 | |
| M | 199 | |
| H | 152 | |
| R | 78 | 7.2% |
| T | 76 | 7.0% |
| P | 64 | 5.9% |
| I | 51 | 4.7% |
| E | 37 | 3.4% |
| A | 26 | 2.4% |
Space Separator
| Value | Count | Frequency (%) |
| 203 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 9249 | |
| Common | 203 | 2.1% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 1096 | |
| i | 999 | |
| n | 965 | |
| e | 850 | 9.2% |
| c | 681 | 7.4% |
| t | 655 | 7.1% |
| r | 619 | 6.7% |
| l | 484 | 5.2% |
| u | 475 | 5.1% |
| s | 228 | 2.5% |
| Other values (18) | 2197 |
Common
| Value | Count | Frequency (%) |
| 203 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 9452 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 1096 | |
| i | 999 | |
| n | 965 | |
| e | 850 | 9.0% |
| c | 681 | 7.2% |
| t | 655 | 6.9% |
| r | 619 | 6.5% |
| l | 484 | 5.1% |
| u | 475 | 5.0% |
| s | 228 | 2.4% |
| Other values (19) | 2400 |
wealth_segment
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.9 KiB |
| Mass Customer | |
|---|---|
| High Net Worth | |
| Affluent Customer |
Length
| Max length | 17 |
|---|---|
| Median length | 13 |
| Mean length | 14.215 |
| Min length | 13 |
Characters and Unicode
| Total characters | 14215 |
|---|---|
| Distinct characters | 21 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Mass Customer |
|---|---|
| 2nd row | Mass Customer |
| 3rd row | Affluent Customer |
| 4th row | Affluent Customer |
| 5th row | Affluent Customer |
Common Values
| Value | Count | Frequency (%) |
| Mass Customer | 508 | |
| High Net Worth | 251 | |
| Affluent Customer | 241 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| customer | 749 | |
| mass | 508 | |
| high | 251 | 11.2% |
| net | 251 | 11.2% |
| worth | 251 | 11.2% |
| affluent | 241 | 10.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| s | 1765 | |
| t | 1492 | |
| 1251 | 8.8% | |
| e | 1241 | 8.7% |
| r | 1000 | 7.0% |
| o | 1000 | 7.0% |
| u | 990 | 7.0% |
| C | 749 | 5.3% |
| m | 749 | 5.3% |
| a | 508 | 3.6% |
| Other values (11) | 3470 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 10713 | |
| Uppercase Letter | 2251 | 15.8% |
| Space Separator | 1251 | 8.8% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| s | 1765 | |
| t | 1492 | |
| e | 1241 | |
| r | 1000 | |
| o | 1000 | |
| u | 990 | |
| m | 749 | |
| a | 508 | 4.7% |
| h | 502 | 4.7% |
| f | 482 | 4.5% |
| Other values (4) | 984 |
Uppercase Letter
| Value | Count | Frequency (%) |
| C | 749 | |
| M | 508 | |
| H | 251 | 11.2% |
| N | 251 | 11.2% |
| W | 251 | 11.2% |
| A | 241 | 10.7% |
Space Separator
| Value | Count | Frequency (%) |
| 1251 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 12964 | |
| Common | 1251 | 8.8% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| s | 1765 | |
| t | 1492 | |
| e | 1241 | |
| r | 1000 | 7.7% |
| o | 1000 | 7.7% |
| u | 990 | 7.6% |
| C | 749 | 5.8% |
| m | 749 | 5.8% |
| a | 508 | 3.9% |
| M | 508 | 3.9% |
| Other values (10) | 2962 |
Common
| Value | Count | Frequency (%) |
| 1251 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 14215 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| s | 1765 | |
| t | 1492 | |
| 1251 | 8.8% | |
| e | 1241 | 8.7% |
| r | 1000 | 7.0% |
| o | 1000 | 7.0% |
| u | 990 | 7.0% |
| C | 749 | 5.3% |
| m | 749 | 5.3% |
| a | 508 | 3.6% |
| Other values (11) | 3470 |
deceased_indicator
Boolean
CONSTANT
| Distinct | 1 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.1 KiB |
| False |
|---|
| Value | Count | Frequency (%) |
| False | 1000 |
owns_car
Boolean
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.1 KiB |
| False | |
|---|---|
| True |
| Value | Count | Frequency (%) |
| False | 507 | |
| True | 493 |
tenure
Real number (ℝ)
| Distinct | 23 |
|---|---|
| Distinct (%) | 2.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 11.388 |
| Minimum | 0 |
|---|---|
| Maximum | 22 |
| Zeros | 2 |
| Zeros (%) | 0.2% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.9 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 3 |
| Q1 | 7 |
| median | 11 |
| Q3 | 15 |
| 95-th percentile | 20 |
| Maximum | 22 |
| Range | 22 |
| Interquartile range (IQR) | 8 |
Descriptive statistics
| Standard deviation | 5.0371449 |
|---|---|
| Coefficient of variation (CV) | 0.44232042 |
| Kurtosis | -0.81281522 |
| Mean | 11.388 |
| Median Absolute Deviation (MAD) | 4 |
| Skewness | 0.070890798 |
| Sum | 11388 |
| Variance | 25.372829 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=23)
| Value | Count | Frequency (%) |
| 9 | 79 | 7.9% |
| 13 | 74 | 7.4% |
| 11 | 68 | 6.8% |
| 10 | 63 | 6.3% |
| 12 | 61 | 6.1% |
| 5 | 60 | 6.0% |
| 7 | 60 | 6.0% |
| 17 | 59 | 5.9% |
| 15 | 58 | 5.8% |
| 8 | 55 | 5.5% |
| Other values (13) | 363 |
| Value | Count | Frequency (%) |
| 0 | 2 | 0.2% |
| 1 | 8 | 0.8% |
| 2 | 15 | 1.5% |
| 3 | 26 | 2.6% |
| 4 | 36 | |
| 5 | 60 | |
| 6 | 45 | |
| 7 | 60 | |
| 8 | 55 | |
| 9 | 79 |
| Value | Count | Frequency (%) |
| 22 | 12 | 1.2% |
| 21 | 24 | 2.4% |
| 20 | 22 | 2.2% |
| 19 | 34 | |
| 18 | 36 | |
| 17 | 59 | |
| 16 | 49 | |
| 15 | 58 | |
| 14 | 54 | |
| 13 | 74 |
address
Text
UNIQUE
| Distinct | 1000 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.9 KiB |
Length
| Max length | 26 |
|---|---|
| Median length | 23 |
| Mean length | 17.582 |
| Min length | 9 |
Characters and Unicode
| Total characters | 17582 |
|---|---|
| Distinct characters | 60 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1000 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | 45 Shopko Center |
|---|---|
| 2nd row | 14 Mccormick Park |
| 3rd row | 5 Colorado Crossing |
| 4th row | 207 Annamark Plaza |
| 5th row | 115 Montana Place |
| Value | Count | Frequency (%) |
| park | 59 | 1.9% |
| crossing | 59 | 1.9% |
| center | 58 | 1.9% |
| avenue | 55 | 1.8% |
| street | 55 | 1.8% |
| lane | 55 | 1.8% |
| point | 54 | 1.7% |
| hill | 51 | 1.6% |
| plaza | 50 | 1.6% |
| court | 49 | 1.6% |
| Other values (1137) | 2563 |
Most occurring characters
| Value | Count | Frequency (%) |
| 2108 | 12.0% | |
| e | 1394 | 7.9% |
| a | 1152 | 6.6% |
| r | 1072 | 6.1% |
| n | 884 | 5.0% |
| o | 787 | 4.5% |
| i | 748 | 4.3% |
| l | 732 | 4.2% |
| t | 645 | 3.7% |
| s | 469 | 2.7% |
| Other values (50) | 7591 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 10401 | |
| Decimal Number | 2975 | 16.9% |
| Space Separator | 2108 | 12.0% |
| Uppercase Letter | 2098 | 11.9% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 1394 | |
| a | 1152 | |
| r | 1072 | |
| n | 884 | |
| o | 787 | 7.6% |
| i | 748 | 7.2% |
| l | 732 | 7.0% |
| t | 645 | 6.2% |
| s | 469 | 4.5% |
| d | 318 | 3.1% |
| Other values (16) | 2200 |
Uppercase Letter
| Value | Count | Frequency (%) |
| P | 337 | |
| C | 272 | |
| S | 167 | 8.0% |
| M | 142 | 6.8% |
| A | 142 | 6.8% |
| T | 114 | 5.4% |
| R | 113 | 5.4% |
| D | 112 | 5.3% |
| L | 108 | 5.1% |
| H | 99 | 4.7% |
| Other values (13) | 492 |
Decimal Number
| Value | Count | Frequency (%) |
| 6 | 330 | |
| 7 | 317 | |
| 0 | 315 | |
| 2 | 305 | |
| 3 | 300 | |
| 1 | 294 | |
| 5 | 293 | |
| 9 | 279 | |
| 8 | 273 | |
| 4 | 269 |
Space Separator
| Value | Count | Frequency (%) |
| 2108 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 12499 | |
| Common | 5083 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 1394 | 11.2% |
| a | 1152 | 9.2% |
| r | 1072 | 8.6% |
| n | 884 | 7.1% |
| o | 787 | 6.3% |
| i | 748 | 6.0% |
| l | 732 | 5.9% |
| t | 645 | 5.2% |
| s | 469 | 3.8% |
| P | 337 | 2.7% |
| Other values (39) | 4279 |
Common
| Value | Count | Frequency (%) |
| 2108 | ||
| 6 | 330 | 6.5% |
| 7 | 317 | 6.2% |
| 0 | 315 | 6.2% |
| 2 | 305 | 6.0% |
| 3 | 300 | 5.9% |
| 1 | 294 | 5.8% |
| 5 | 293 | 5.8% |
| 9 | 279 | 5.5% |
| 8 | 273 | 5.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 17582 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 2108 | 12.0% | |
| e | 1394 | 7.9% |
| a | 1152 | 6.6% |
| r | 1072 | 6.1% |
| n | 884 | 5.0% |
| o | 787 | 4.5% |
| i | 748 | 4.3% |
| l | 732 | 4.2% |
| t | 645 | 3.7% |
| s | 469 | 2.7% |
| Other values (50) | 7591 |
postcode
Real number (ℝ)
HIGH CORRELATION
| Distinct | 522 |
|---|---|
| Distinct (%) | 52.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3019.227 |
| Minimum | 2000 |
|---|---|
| Maximum | 4879 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.9 KiB |
Quantile statistics
| Minimum | 2000 |
|---|---|
| 5-th percentile | 2046 |
| Q1 | 2209 |
| median | 2800 |
| Q3 | 3845.5 |
| 95-th percentile | 4508.05 |
| Maximum | 4879 |
| Range | 2879 |
| Interquartile range (IQR) | 1636.5 |
Descriptive statistics
| Standard deviation | 848.89577 |
|---|---|
| Coefficient of variation (CV) | 0.28116328 |
| Kurtosis | -1.1424982 |
| Mean | 3019.227 |
| Median Absolute Deviation (MAD) | 635.5 |
| Skewness | 0.49210793 |
| Sum | 3019227 |
| Variance | 720624.02 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 2145 | 9 | 0.9% |
| 2232 | 9 | 0.9% |
| 2750 | 7 | 0.7% |
| 3977 | 7 | 0.7% |
| 2148 | 7 | 0.7% |
| 3029 | 7 | 0.7% |
| 4207 | 7 | 0.7% |
| 2168 | 7 | 0.7% |
| 3163 | 6 | 0.6% |
| 2121 | 6 | 0.6% |
| Other values (512) | 928 |
| Value | Count | Frequency (%) |
| 2000 | 1 | 0.1% |
| 2007 | 3 | |
| 2009 | 2 | |
| 2010 | 4 | |
| 2011 | 4 | |
| 2015 | 1 | 0.1% |
| 2016 | 2 | |
| 2017 | 1 | 0.1% |
| 2019 | 3 | |
| 2022 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 4879 | 1 | 0.1% |
| 4852 | 1 | 0.1% |
| 4818 | 2 | |
| 4817 | 2 | |
| 4814 | 3 | |
| 4744 | 1 | 0.1% |
| 4740 | 2 | |
| 4720 | 1 | 0.1% |
| 4717 | 1 | 0.1% |
| 4710 | 1 | 0.1% |
state
Categorical
HIGH CORRELATION
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.9 KiB |
| NSW | |
|---|---|
| VIC | |
| QLD |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 3000 |
|---|---|
| Distinct characters | 9 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | QLD |
|---|---|
| 2nd row | NSW |
| 3rd row | VIC |
| 4th row | QLD |
| 5th row | NSW |
Common Values
| Value | Count | Frequency (%) |
| NSW | 506 | |
| VIC | 266 | |
| QLD | 228 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| nsw | 506 | |
| vic | 266 | |
| qld | 228 |
Most occurring characters
| Value | Count | Frequency (%) |
| N | 506 | |
| S | 506 | |
| W | 506 | |
| V | 266 | |
| I | 266 | |
| C | 266 | |
| Q | 228 | |
| L | 228 | |
| D | 228 |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 3000 |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| N | 506 | |
| S | 506 | |
| W | 506 | |
| V | 266 | |
| I | 266 | |
| C | 266 | |
| Q | 228 | |
| L | 228 | |
| D | 228 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 3000 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| N | 506 | |
| S | 506 | |
| W | 506 | |
| V | 266 | |
| I | 266 | |
| C | 266 | |
| Q | 228 | |
| L | 228 | |
| D | 228 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 3000 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| N | 506 | |
| S | 506 | |
| W | 506 | |
| V | 266 | |
| I | 266 | |
| C | 266 | |
| Q | 228 | |
| L | 228 | |
| D | 228 |
country
Categorical
CONSTANT
| Distinct | 1 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.9 KiB |
| Australia |
|---|
Length
| Max length | 9 |
|---|---|
| Median length | 9 |
| Mean length | 9 |
| Min length | 9 |
Characters and Unicode
| Total characters | 9000 |
|---|---|
| Distinct characters | 8 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Australia |
|---|---|
| 2nd row | Australia |
| 3rd row | Australia |
| 4th row | Australia |
| 5th row | Australia |
Common Values
| Value | Count | Frequency (%) |
| Australia | 1000 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| australia | 1000 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 2000 | |
| A | 1000 | |
| u | 1000 | |
| s | 1000 | |
| t | 1000 | |
| r | 1000 | |
| l | 1000 | |
| i | 1000 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 8000 | |
| Uppercase Letter | 1000 | 11.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 2000 | |
| u | 1000 | |
| s | 1000 | |
| t | 1000 | |
| r | 1000 | |
| l | 1000 | |
| i | 1000 |
Uppercase Letter
| Value | Count | Frequency (%) |
| A | 1000 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 9000 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 2000 | |
| A | 1000 | |
| u | 1000 | |
| s | 1000 | |
| t | 1000 | |
| r | 1000 | |
| l | 1000 | |
| i | 1000 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 9000 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 2000 | |
| A | 1000 | |
| u | 1000 | |
| s | 1000 | |
| t | 1000 | |
| r | 1000 | |
| l | 1000 | |
| i | 1000 |
property_valuation
Real number (ℝ)
HIGH CORRELATION
| Distinct | 12 |
|---|---|
| Distinct (%) | 1.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7.397 |
| Minimum | 1 |
|---|---|
| Maximum | 12 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.9 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 2 |
| Q1 | 6 |
| median | 8 |
| Q3 | 9 |
| 95-th percentile | 11 |
| Maximum | 12 |
| Range | 11 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 2.7588045 |
|---|---|
| Coefficient of variation (CV) | 0.37296261 |
| Kurtosis | -0.37127999 |
| Mean | 7.397 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | -0.55761121 |
| Sum | 7397 |
| Variance | 7.611002 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=12)
| Value | Count | Frequency (%) |
| 9 | 173 | |
| 8 | 162 | |
| 7 | 138 | |
| 10 | 116 | |
| 6 | 70 | |
| 11 | 62 | 6.2% |
| 5 | 57 | 5.7% |
| 4 | 53 | 5.3% |
| 3 | 51 | 5.1% |
| 12 | 46 | 4.6% |
| Other values (2) | 72 |
| Value | Count | Frequency (%) |
| 1 | 30 | 3.0% |
| 2 | 42 | 4.2% |
| 3 | 51 | 5.1% |
| 4 | 53 | 5.3% |
| 5 | 57 | 5.7% |
| 6 | 70 | |
| 7 | 138 | |
| 8 | 162 | |
| 9 | 173 | |
| 10 | 116 |
| Value | Count | Frequency (%) |
| 12 | 46 | 4.6% |
| 11 | 62 | 6.2% |
| 10 | 116 | |
| 9 | 173 | |
| 8 | 162 | |
| 7 | 138 | |
| 6 | 70 | |
| 5 | 57 | 5.7% |
| 4 | 53 | 5.3% |
| 3 | 51 | 5.1% |
Unnamed: 16
Real number (ℝ)
HIGH CORRELATION
| Distinct | 71 |
|---|---|
| Distinct (%) | 7.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.74384 |
| Minimum | 0.4 |
|---|---|
| Maximum | 1.1 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.9 KiB |
Quantile statistics
| Minimum | 0.4 |
|---|---|
| 5-th percentile | 0.42 |
| Q1 | 0.55 |
| median | 0.75 |
| Q3 | 0.93 |
| 95-th percentile | 1.07 |
| Maximum | 1.1 |
| Range | 0.7 |
| Interquartile range (IQR) | 0.38 |
Descriptive statistics
| Standard deviation | 0.21214821 |
|---|---|
| Coefficient of variation (CV) | 0.28520677 |
| Kurtosis | -1.2603279 |
| Mean | 0.74384 |
| Median Absolute Deviation (MAD) | 0.19 |
| Skewness | 0.018602114 |
| Sum | 743.84 |
| Variance | 0.045006861 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.5 | 25 | 2.5% |
| 0.55 | 25 | 2.5% |
| 1.08 | 25 | 2.5% |
| 0.41 | 25 | 2.5% |
| 0.43 | 24 | 2.4% |
| 0.46 | 22 | 2.2% |
| 0.61 | 19 | 1.9% |
| 1.07 | 19 | 1.9% |
| 0.93 | 19 | 1.9% |
| 0.63 | 18 | 1.8% |
| Other values (61) | 779 |
| Value | Count | Frequency (%) |
| 0.4 | 15 | |
| 0.41 | 25 | |
| 0.42 | 17 | |
| 0.43 | 24 | |
| 0.44 | 7 | 0.7% |
| 0.45 | 12 | |
| 0.46 | 22 | |
| 0.47 | 12 | |
| 0.48 | 17 | |
| 0.49 | 10 | 1.0% |
| Value | Count | Frequency (%) |
| 1.1 | 12 | |
| 1.09 | 9 | 0.9% |
| 1.08 | 25 | |
| 1.07 | 19 | |
| 1.06 | 15 | |
| 1.05 | 15 | |
| 1.04 | 17 | |
| 1.03 | 10 | 1.0% |
| 1.02 | 13 | |
| 1.01 | 17 |
Unnamed: 17
Real number (ℝ)
HIGH CORRELATION
| Distinct | 129 |
|---|---|
| Distinct (%) | 12.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.8353875 |
| Minimum | 0.4 |
|---|---|
| Maximum | 1.375 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.9 KiB |
Quantile statistics
| Minimum | 0.4 |
|---|---|
| 5-th percentile | 0.45 |
| Q1 | 0.62 |
| median | 0.825 |
| Q3 | 1.0375 |
| 95-th percentile | 1.3 |
| Maximum | 1.375 |
| Range | 0.975 |
| Interquartile range (IQR) | 0.4175 |
Descriptive statistics
| Standard deviation | 0.25653756 |
|---|---|
| Coefficient of variation (CV) | 0.30708809 |
| Kurtosis | -0.91224444 |
| Mean | 0.8353875 |
| Median Absolute Deviation (MAD) | 0.2125 |
| Skewness | 0.21687798 |
| Sum | 835.3875 |
| Variance | 0.065811518 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.5 | 19 | 1.9% |
| 0.55 | 17 | 1.7% |
| 0.7 | 15 | 1.5% |
| 0.85 | 14 | 1.4% |
| 0.575 | 14 | 1.4% |
| 1 | 14 | 1.4% |
| 0.95 | 13 | 1.3% |
| 0.6 | 13 | 1.3% |
| 1.08 | 13 | 1.3% |
| 1.1 | 13 | 1.3% |
| Other values (119) | 855 |
| Value | Count | Frequency (%) |
| 0.4 | 8 | |
| 0.41 | 13 | |
| 0.42 | 9 | |
| 0.43 | 13 | |
| 0.44 | 2 | 0.2% |
| 0.45 | 6 | |
| 0.46 | 8 | |
| 0.47 | 6 | |
| 0.48 | 11 | |
| 0.49 | 6 |
| Value | Count | Frequency (%) |
| 1.375 | 5 | |
| 1.3625 | 2 | 0.2% |
| 1.35 | 12 | |
| 1.3375 | 6 | |
| 1.325 | 10 | |
| 1.3125 | 7 | |
| 1.3 | 11 | |
| 1.2875 | 8 | |
| 1.275 | 6 | |
| 1.2625 | 12 |
Unnamed: 18
Real number (ℝ)
HIGH CORRELATION
| Distinct | 180 |
|---|---|
| Distinct (%) | 18.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.939265 |
| Minimum | 0.4 |
|---|---|
| Maximum | 1.71875 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.9 KiB |
Quantile statistics
| Minimum | 0.4 |
|---|---|
| 5-th percentile | 0.5 |
| Q1 | 0.6875 |
| median | 0.9125 |
| Q3 | 1.1625 |
| 95-th percentile | 1.46875 |
| Maximum | 1.71875 |
| Range | 1.31875 |
| Interquartile range (IQR) | 0.475 |
Descriptive statistics
| Standard deviation | 0.30540585 |
|---|---|
| Coefficient of variation (CV) | 0.32515408 |
| Kurtosis | -0.61726909 |
| Mean | 0.939265 |
| Median Absolute Deviation (MAD) | 0.2375 |
| Skewness | 0.36524118 |
| Sum | 939.265 |
| Variance | 0.09327273 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.6875 | 24 | 2.4% |
| 0.625 | 17 | 1.7% |
| 1 | 16 | 1.6% |
| 0.75 | 15 | 1.5% |
| 0.5375 | 15 | 1.5% |
| 0.7 | 15 | 1.5% |
| 1.35 | 13 | 1.3% |
| 1.1875 | 13 | 1.3% |
| 1.3125 | 13 | 1.3% |
| 1.375 | 13 | 1.3% |
| Other values (170) | 846 |
| Value | Count | Frequency (%) |
| 0.4 | 5 | |
| 0.41 | 7 | |
| 0.42 | 4 | |
| 0.43 | 6 | |
| 0.44 | 1 | 0.1% |
| 0.45 | 1 | 0.1% |
| 0.46 | 6 | |
| 0.47 | 2 | 0.2% |
| 0.48 | 6 | |
| 0.49 | 3 |
| Value | Count | Frequency (%) |
| 1.71875 | 1 | 0.1% |
| 1.703125 | 2 | 0.2% |
| 1.6875 | 5 | |
| 1.671875 | 3 | |
| 1.65625 | 5 | |
| 1.640625 | 3 | |
| 1.625 | 5 | |
| 1.609375 | 7 | |
| 1.59375 | 2 | 0.2% |
| 1.578125 | 3 |
Unnamed: 19
Real number (ℝ)
HIGH CORRELATION
| Distinct | 312 |
|---|---|
| Distinct (%) | 31.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.86798397 |
| Minimum | 0.34 |
|---|---|
| Maximum | 1.71875 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.9 KiB |
Quantile statistics
| Minimum | 0.34 |
|---|---|
| 5-th percentile | 0.4502875 |
| Q1 | 0.63 |
| median | 0.8396875 |
| Q3 | 1.073125 |
| 95-th percentile | 1.3679687 |
| Maximum | 1.71875 |
| Range | 1.37875 |
| Interquartile range (IQR) | 0.443125 |
Descriptive statistics
| Standard deviation | 0.2923435 |
|---|---|
| Coefficient of variation (CV) | 0.33680749 |
| Kurtosis | -0.36555561 |
| Mean | 0.86798397 |
| Median Absolute Deviation (MAD) | 0.2146875 |
| Skewness | 0.45349201 |
| Sum | 867.98397 |
| Variance | 0.085464722 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.584375 | 14 | 1.4% |
| 0.6375 | 12 | 1.2% |
| 1 | 11 | 1.1% |
| 0.6875 | 10 | 1.0% |
| 0.85 | 10 | 1.0% |
| 0.625 | 10 | 1.0% |
| 0.595 | 10 | 1.0% |
| 1.16875 | 9 | 0.9% |
| 1.02 | 9 | 0.9% |
| 0.945625 | 8 | 0.8% |
| Other values (302) | 897 |
| Value | Count | Frequency (%) |
| 0.34 | 3 | |
| 0.3485 | 6 | |
| 0.357 | 2 | 0.2% |
| 0.3655 | 5 | |
| 0.374 | 1 | 0.1% |
| 0.3825 | 1 | 0.1% |
| 0.391 | 5 | |
| 0.3995 | 2 | 0.2% |
| 0.4 | 2 | 0.2% |
| 0.408 | 4 |
| Value | Count | Frequency (%) |
| 1.71875 | 1 | 0.1% |
| 1.6875 | 4 | |
| 1.671875 | 2 | |
| 1.65625 | 3 | |
| 1.640625 | 1 | 0.1% |
| 1.625 | 2 | |
| 1.609375 | 3 | |
| 1.59375 | 2 | |
| 1.578125 | 2 | |
| 1.5625 | 1 | 0.1% |
Unnamed: 20
Real number (ℝ)
HIGH CORRELATION
| Distinct | 324 |
|---|---|
| Distinct (%) | 32.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 498.819 |
| Minimum | 1 |
|---|---|
| Maximum | 1000 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.9 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 50 |
| Q1 | 250 |
| median | 500 |
| Q3 | 750.25 |
| 95-th percentile | 948.15 |
| Maximum | 1000 |
| Range | 999 |
| Interquartile range (IQR) | 500.25 |
Descriptive statistics
| Standard deviation | 288.811 |
|---|---|
| Coefficient of variation (CV) | 0.57898957 |
| Kurtosis | -1.2007498 |
| Mean | 498.819 |
| Median Absolute Deviation (MAD) | 250 |
| Skewness | 0.0012458596 |
| Sum | 498819 |
| Variance | 83411.792 |
| Monotonicity | Increasing |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 760 | 13 | 1.3% |
| 259 | 12 | 1.2% |
| 455 | 9 | 0.9% |
| 133 | 9 | 0.9% |
| 386 | 9 | 0.9% |
| 904 | 9 | 0.9% |
| 700 | 8 | 0.8% |
| 312 | 8 | 0.8% |
| 820 | 8 | 0.8% |
| 536 | 8 | 0.8% |
| Other values (314) | 907 |
| Value | Count | Frequency (%) |
| 1 | 3 | |
| 4 | 2 | |
| 6 | 2 | |
| 8 | 2 | |
| 10 | 2 | |
| 12 | 1 | 0.1% |
| 13 | 1 | 0.1% |
| 14 | 2 | |
| 16 | 1 | 0.1% |
| 17 | 2 |
| Value | Count | Frequency (%) |
| 1000 | 1 | 0.1% |
| 997 | 3 | |
| 996 | 1 | 0.1% |
| 994 | 2 | 0.2% |
| 993 | 1 | 0.1% |
| 988 | 5 | |
| 987 | 1 | 0.1% |
| 985 | 2 | 0.2% |
| 983 | 2 | 0.2% |
| 979 | 4 |
Rank
Real number (ℝ)
HIGH CORRELATION
| Distinct | 324 |
|---|---|
| Distinct (%) | 32.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 498.819 |
| Minimum | 1 |
|---|---|
| Maximum | 1000 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.9 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 50 |
| Q1 | 250 |
| median | 500 |
| Q3 | 750.25 |
| 95-th percentile | 948.15 |
| Maximum | 1000 |
| Range | 999 |
| Interquartile range (IQR) | 500.25 |
Descriptive statistics
| Standard deviation | 288.811 |
|---|---|
| Coefficient of variation (CV) | 0.57898957 |
| Kurtosis | -1.2007498 |
| Mean | 498.819 |
| Median Absolute Deviation (MAD) | 250 |
| Skewness | 0.0012458596 |
| Sum | 498819 |
| Variance | 83411.792 |
| Monotonicity | Increasing |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 760 | 13 | 1.3% |
| 259 | 12 | 1.2% |
| 455 | 9 | 0.9% |
| 133 | 9 | 0.9% |
| 386 | 9 | 0.9% |
| 904 | 9 | 0.9% |
| 700 | 8 | 0.8% |
| 312 | 8 | 0.8% |
| 820 | 8 | 0.8% |
| 536 | 8 | 0.8% |
| Other values (314) | 907 |
| Value | Count | Frequency (%) |
| 1 | 3 | |
| 4 | 2 | |
| 6 | 2 | |
| 8 | 2 | |
| 10 | 2 | |
| 12 | 1 | 0.1% |
| 13 | 1 | 0.1% |
| 14 | 2 | |
| 16 | 1 | 0.1% |
| 17 | 2 |
| Value | Count | Frequency (%) |
| 1000 | 1 | 0.1% |
| 997 | 3 | |
| 996 | 1 | 0.1% |
| 994 | 2 | 0.2% |
| 993 | 1 | 0.1% |
| 988 | 5 | |
| 987 | 1 | 0.1% |
| 985 | 2 | 0.2% |
| 983 | 2 | 0.2% |
| 979 | 4 |
Value
Real number (ℝ)
HIGH CORRELATION
| Distinct | 319 |
|---|---|
| Distinct (%) | 31.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.88171409 |
| Minimum | 0.34 |
|---|---|
| Maximum | 1.71875 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.9 KiB |
Quantile statistics
| Minimum | 0.34 |
|---|---|
| 5-th percentile | 0.45655625 |
| Q1 | 0.64953125 |
| median | 0.86 |
| Q3 | 1.075 |
| 95-th percentile | 1.40625 |
| Maximum | 1.71875 |
| Range | 1.37875 |
| Interquartile range (IQR) | 0.42546875 |
Descriptive statistics
| Standard deviation | 0.29352451 |
|---|---|
| Coefficient of variation (CV) | 0.33290214 |
| Kurtosis | -0.45247192 |
| Mean | 0.88171409 |
| Median Absolute Deviation (MAD) | 0.213125 |
| Skewness | 0.42990252 |
| Sum | 881.71409 |
| Variance | 0.086156637 |
| Monotonicity | Decreasing |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.6375 | 13 | 1.3% |
| 1.0625 | 12 | 1.2% |
| 0.9 | 11 | 1.1% |
| 0.8925 | 9 | 0.9% |
| 1.2375 | 9 | 0.9% |
| 0.5 | 9 | 0.9% |
| 0.945625 | 9 | 0.9% |
| 0.85 | 9 | 0.9% |
| 0.825 | 8 | 0.8% |
| 0.6875 | 8 | 0.8% |
| Other values (309) | 903 |
| Value | Count | Frequency (%) |
| 0.34 | 1 | 0.1% |
| 0.357 | 3 | |
| 0.374 | 1 | 0.1% |
| 0.3825 | 2 | 0.2% |
| 0.391 | 1 | 0.1% |
| 0.3995 | 5 | |
| 0.4 | 1 | 0.1% |
| 0.408 | 2 | 0.2% |
| 0.41 | 2 | 0.2% |
| 0.4165 | 4 |
| Value | Count | Frequency (%) |
| 1.71875 | 3 | |
| 1.703125 | 2 | |
| 1.671875 | 2 | |
| 1.65625 | 2 | |
| 1.640625 | 2 | |
| 1.625 | 1 | 0.1% |
| 1.609375 | 1 | 0.1% |
| 1.59375 | 2 | |
| 1.5625 | 1 | 0.1% |
| 1.546875 | 2 |
| past_3_years_bike_related_purchases | tenure | postcode | property_valuation | Unnamed: 16 | Unnamed: 17 | Unnamed: 18 | Unnamed: 19 | Unnamed: 20 | Rank | Value | gender | job_industry_category | wealth_segment | owns_car | state | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| past_3_years_bike_related_purchases | 1.000 | -0.035 | 0.012 | -0.016 | 0.043 | 0.050 | 0.132 | 0.131 | -0.006 | -0.006 | 0.006 | 0.000 | 0.031 | 0.000 | 0.000 | 0.054 |
| tenure | -0.035 | 1.000 | 0.023 | -0.010 | 0.014 | 0.015 | 0.011 | 0.021 | 0.004 | 0.004 | -0.004 | 0.110 | 0.000 | 0.000 | 0.079 | 0.000 |
| postcode | 0.012 | 0.023 | 1.000 | -0.558 | 0.010 | 0.034 | -0.092 | -0.092 | -0.041 | -0.041 | 0.041 | 0.084 | 0.000 | 0.047 | 0.096 | 0.973 |
| property_valuation | -0.016 | -0.010 | -0.558 | 1.000 | -0.041 | -0.067 | 0.162 | 0.151 | 0.011 | 0.011 | -0.011 | 0.000 | 0.000 | 0.031 | 0.074 | 0.294 |
| Unnamed: 16 | 0.043 | 0.014 | 0.010 | -0.041 | 1.000 | 0.934 | 0.892 | 0.872 | -0.015 | -0.015 | 0.015 | 0.000 | 0.053 | 0.037 | 0.000 | 0.055 |
| Unnamed: 17 | 0.050 | 0.015 | 0.034 | -0.067 | 0.934 | 1.000 | 0.943 | 0.920 | -0.006 | -0.006 | 0.006 | 0.000 | 0.059 | 0.000 | 0.471 | 0.008 |
| Unnamed: 18 | 0.132 | 0.011 | -0.092 | 0.162 | 0.892 | 0.943 | 1.000 | 0.972 | -0.008 | -0.008 | 0.008 | 0.000 | 0.000 | 0.000 | 0.338 | 0.000 |
| Unnamed: 19 | 0.131 | 0.021 | -0.092 | 0.151 | 0.872 | 0.920 | 0.972 | 1.000 | -0.005 | -0.005 | 0.005 | 0.000 | 0.007 | 0.208 | 0.317 | 0.056 |
| Unnamed: 20 | -0.006 | 0.004 | -0.041 | 0.011 | -0.015 | -0.006 | -0.008 | -0.005 | 1.000 | 1.000 | -1.000 | 0.000 | 0.027 | 0.017 | 0.000 | 0.000 |
| Rank | -0.006 | 0.004 | -0.041 | 0.011 | -0.015 | -0.006 | -0.008 | -0.005 | 1.000 | 1.000 | -1.000 | 0.000 | 0.027 | 0.017 | 0.000 | 0.000 |
| Value | 0.006 | -0.004 | 0.041 | -0.011 | 0.015 | 0.006 | 0.008 | 0.005 | -1.000 | -1.000 | 1.000 | 0.000 | 0.000 | 0.000 | 0.049 | 0.013 |
| gender | 0.000 | 0.110 | 0.084 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 | 0.341 | 0.014 | 0.000 | 0.031 |
| job_industry_category | 0.031 | 0.000 | 0.000 | 0.000 | 0.053 | 0.059 | 0.000 | 0.007 | 0.027 | 0.027 | 0.000 | 0.341 | 1.000 | 0.087 | 0.000 | 0.054 |
| wealth_segment | 0.000 | 0.000 | 0.047 | 0.031 | 0.037 | 0.000 | 0.000 | 0.208 | 0.017 | 0.017 | 0.000 | 0.014 | 0.087 | 1.000 | 0.016 | 0.000 |
| owns_car | 0.000 | 0.079 | 0.096 | 0.074 | 0.000 | 0.471 | 0.338 | 0.317 | 0.000 | 0.000 | 0.049 | 0.000 | 0.000 | 0.016 | 1.000 | 0.053 |
| state | 0.054 | 0.000 | 0.973 | 0.294 | 0.055 | 0.008 | 0.000 | 0.056 | 0.000 | 0.000 | 0.013 | 0.031 | 0.054 | 0.000 | 0.053 | 1.000 |
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
| first_name | last_name | gender | past_3_years_bike_related_purchases | DOB | job_title | job_industry_category | wealth_segment | deceased_indicator | owns_car | tenure | address | postcode | state | country | property_valuation | Unnamed: 16 | Unnamed: 17 | Unnamed: 18 | Unnamed: 19 | Unnamed: 20 | Rank | Value | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Chickie | Brister | Male | 86 | 1957-07-12 | General Manager | Manufacturing | Mass Customer | N | Yes | 14 | 45 Shopko Center | 4500 | QLD | Australia | 6.0 | 0.68 | 0.8500 | 1.06250 | 0.903125 | 1 | 1 | 1.718750 |
| 1 | Morly | Genery | Male | 69 | 1970-03-22 | Structural Engineer | Property | Mass Customer | N | No | 16 | 14 Mccormick Park | 2113 | NSW | Australia | 11.0 | 0.61 | 0.6100 | 0.76250 | 0.648125 | 1 | 1 | 1.718750 |
| 2 | Ardelis | Forrester | Female | 10 | 1974-08-28 | Senior Cost Accountant | Financial Services | Affluent Customer | N | No | 10 | 5 Colorado Crossing | 3505 | VIC | Australia | 5.0 | 0.93 | 0.9300 | 0.93000 | 0.930000 | 1 | 1 | 1.718750 |
| 3 | Lucine | Stutt | Female | 64 | 1979-01-28 | Account Representative III | Manufacturing | Affluent Customer | N | Yes | 5 | 207 Annamark Plaza | 4814 | QLD | Australia | 1.0 | 0.46 | 0.5750 | 0.57500 | 0.575000 | 4 | 4 | 1.703125 |
| 4 | Melinda | Hadlee | Female | 34 | 1965-09-21 | Financial Analyst | Financial Services | Affluent Customer | N | No | 19 | 115 Montana Place | 2093 | NSW | Australia | 9.0 | 0.62 | 0.6200 | 0.77500 | 0.775000 | 4 | 4 | 1.703125 |
| 5 | Druci | Brandli | Female | 39 | 1951-04-29 | Assistant Media Planner | Entertainment | High Net Worth | N | Yes | 22 | 89105 Pearson Terrace | 4075 | QLD | Australia | 7.0 | 0.91 | 1.1375 | 1.13750 | 1.137500 | 6 | 6 | 1.671875 |
| 6 | Rutledge | Hallt | Male | 23 | 1976-10-06 | Compensation Analyst | Financial Services | Mass Customer | N | No | 8 | 7 Nevada Crossing | 2620 | NSW | Australia | 7.0 | 0.88 | 0.8800 | 0.88000 | 0.748000 | 6 | 6 | 1.671875 |
| 7 | Nancie | Vian | Female | 74 | 1972-12-27 | Human Resources Assistant II | Retail | Mass Customer | N | Yes | 10 | 85 Carioca Point | 4814 | QLD | Australia | 5.0 | 0.97 | 1.2125 | 1.21250 | 1.030625 | 8 | 8 | 1.656250 |
| 8 | Duff | Karlowicz | Male | 50 | 1972-04-28 | Speech Pathologist | Manufacturing | Mass Customer | N | Yes | 5 | 717 West Drive | 2200 | NSW | Australia | 10.0 | 0.46 | 0.5750 | 0.71875 | 0.610938 | 8 | 8 | 1.656250 |
| 9 | Barthel | Docket | Male | 72 | 1985-08-02 | Accounting Assistant IV | IT | Mass Customer | N | Yes | 17 | 80 Scofield Junction | 4151 | QLD | Australia | 5.0 | 0.71 | 0.8875 | 0.88750 | 0.754375 | 10 | 10 | 1.640625 |
| first_name | last_name | gender | past_3_years_bike_related_purchases | DOB | job_title | job_industry_category | wealth_segment | deceased_indicator | owns_car | tenure | address | postcode | state | country | property_valuation | Unnamed: 16 | Unnamed: 17 | Unnamed: 18 | Unnamed: 19 | Unnamed: 20 | Rank | Value | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 990 | Jermaine | Bagshawe | Female | 60 | 1954-05-14 | Help Desk Operator | Property | Mass Customer | N | Yes | 9 | 260 Briar Crest Drive | 4209 | QLD | Australia | 6.0 | 0.95 | 1.1875 | 1.187500 | 1.009375 | 988 | 988 | 0.3995 |
| 991 | Bryan | Jachtym | Male | 59 | 1974-05-15 | Automation Specialist I | Manufacturing | Mass Customer | N | Yes | 15 | 56 Moland Crossing | 3356 | VIC | Australia | 3.0 | 0.42 | 0.5250 | 0.525000 | 0.446250 | 988 | 988 | 0.3995 |
| 992 | Renie | Laundon | Female | 32 | 1973-12-18 | Assistant Media Planner | Entertainment | Mass Customer | N | Yes | 8 | 1 Shelley Pass | 4118 | QLD | Australia | 3.0 | 0.74 | 0.9250 | 0.925000 | 0.786250 | 993 | 993 | 0.3910 |
| 993 | Weidar | Etheridge | Male | 38 | 1959-07-13 | Compensation Analyst | Financial Services | Mass Customer | N | Yes | 6 | 0535 Jay Point | 2422 | NSW | Australia | 4.0 | 0.42 | 0.5250 | 0.525000 | 0.446250 | 994 | 994 | 0.3825 |
| 994 | Datha | Fishburn | Female | 15 | 1990-07-02 | Office Assistant IV | Retail | Mass Customer | N | No | 3 | 6 Caliangt Way | 3079 | VIC | Australia | 12.0 | 0.99 | 0.9900 | 1.237500 | 1.051875 | 994 | 994 | 0.3825 |
| 995 | Ferdinand | Romanetti | Male | 60 | 1959-10-07 | Paralegal | Financial Services | Affluent Customer | N | No | 9 | 2 Sloan Way | 2200 | NSW | Australia | 7.0 | 0.91 | 0.9100 | 0.910000 | 0.910000 | 996 | 996 | 0.3740 |
| 996 | Burk | Wortley | Male | 22 | 2001-10-17 | Senior Sales Associate | Health | Mass Customer | N | No | 6 | 04 Union Crossing | 2196 | NSW | Australia | 10.0 | 1.05 | 1.0500 | 1.312500 | 1.115625 | 997 | 997 | 0.3570 |
| 997 | Melloney | Temby | Female | 17 | 1954-10-05 | Budget/Accounting Analyst IV | Financial Services | Affluent Customer | N | Yes | 15 | 33475 Fair Oaks Junction | 4702 | QLD | Australia | 2.0 | 1.04 | 1.3000 | 1.300000 | 1.300000 | 997 | 997 | 0.3570 |
| 998 | Dickie | Cubbini | Male | 30 | 1952-12-17 | Financial Advisor | Financial Services | Mass Customer | N | Yes | 19 | 57666 Victoria Way | 4215 | QLD | Australia | 2.0 | 0.75 | 0.9375 | 0.937500 | 0.796875 | 997 | 997 | 0.3570 |
| 999 | Sylas | Duffill | Male | 56 | 1955-10-02 | Staff Accountant IV | Property | Mass Customer | N | Yes | 14 | 21875 Grover Drive | 2010 | NSW | Australia | 9.0 | 1.05 | 1.3125 | 1.640625 | 1.394531 | 1000 | 1000 | 0.3400 |